mirror of
https://github.com/Heretek-AI/MuseEngine.git
synced 2026-11-07 10:56:06 -10:00
Claude
7e25f39bc5
The original upload never called a model, its autonomous actions only logged that they had happened, and its benchmark was rigged. This replaces it with: - museengine.engine: analyze -> map -> generate -> adversarial critique -> Pareto selection, each step an LLM call with a JSON contract. Offline mode returns labelled keyword suggestions and no fake scores. - museengine.memory: plain-SQLite episodes, notes, state and audit log. - museengine.governance + agent: an autonomous loop behind an allowlist, step budget, kill switch and human approval for self-chosen goals, with every decision and real effect audited. - museengine.evaluation: blinded, order-swapped A/B eval with an exact sign test, replacing the keyword scorer and fudge constants. - Optional Anthropic adapter; the core accepts any (str) -> str callable. - pyproject, CLI, 24 offline tests, CI workflow. The original files are kept unchanged in legacy/ (minus a duplicate). Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01YbuVfbQEpaitM5TMjBMzkF
8 lines
694 B
Plaintext
8 lines
694 B
Plaintext
# One problem per line. Used by: python -m museengine eval examples/problems.txt
|
|
Design a state synchronization layer for a globally distributed app that survives 100x hot-key traffic spikes without retry storms.
|
|
Propose falsifiable mechanisms for why glymphatic clearance declines nonlinearly with age.
|
|
Design a marketplace launch strategy that solves the cold-start problem for a two-sided B2B platform.
|
|
Design a rate limiter for a multi-tenant API where tenants have wildly different burst patterns.
|
|
Propose testable hypotheses for why some coral reefs recover from bleaching much faster than others.
|
|
Design an on-call alerting scheme that cuts alert fatigue without missing real incidents.
|